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Record W2603323897 · doi:10.1038/s41533-017-0012-3

Enablers and determinants of the provision of written action plans to patients with asthma: a stratified survey of Canadian physicians

2017· article· en· W2603323897 on OpenAlexafffundabout
Fabienne Djandji, Alexandrine J. Lamontagne, Lucie Blais, Simon Bacon, Pierre Ernst, Roland Grad, Kim Lavoie, Martha L. McKinney, Eve Desplats, Francine M. Ducharme

Bibliographic record

Venuenpj Primary Care Respiratory Medicine · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsJewish General HospitalMcGill University Health CentreConcordia UniversityHôpital du Sacré-Cœur de MontréalUniversité de MontréalMcGill UniversityUniversité du Québec à MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersCanadian Institutes of Health ResearchCentre hospitalier universitaire Sainte-Justine
KeywordsMedicineVignetteAction planFamily medicineAction (physics)AsthmaEmergency departmentNursingManagementPsychology

Abstract

fetched live from OpenAlex

Despite national recommendations, most patients with asthma are not given a written action plan . The objectives were to ascertain physicians' endorsement of potential enablers to providing a written action plan, and the determinants and proportion, of physician-reported use of a written action plan. We surveyed 838 family physicians, paediatricians, and emergency physicians in Quebec. The mailed questionnaire comprised 102 questions on asthma management, 11 of which pertained to written action plan and promising enablers. Physicians also selected a case vignette that best corresponded to their practice and reported their management. The survey was completed by 421 (56%) physicians (250 family physicians, 115 paediatricians and 56 emergency physicians); 43 (5.2%) reported providing a written action plan to ≥70% of their asthmatic patients and 126 (30%) would have used a written action plan in the selected vignette. Most (>60%) physicians highly endorsed the following enablers: patients requesting a written action plan, adding a blank written action plan to the chart, receiving a copy of the written action plan completed by a consultant, receiving a monetary compensation for its completion, and having another healthcare professional explain the completed written action plan to patients. Four determinants were significantly associated with providing a written action plan: being a paediatrician (RR:2.1), treating a child (RR:2.0), aiming for long-term asthma control (RR:2.5), and being aware of national recommendations to provide a written action plan to asthmatic patients (RR:2.9). A small minority of Quebec physicians reported providing a written action plan to most of their patients, revealing a huge care gap. Several enablers to improve uptake, highly endorsed by physicians, should be prioritised in future implementation efforts. ASTHMA: ENCOURAGING DOCTORS TO PROVIDE WRITTEN ACTION PLANS: Changes to practice organization and doctors' perceptions should encourage the provision of written action plans for all asthma patients. International guidelines state that effective long-term treatment of asthma requires educated self-management, regular reviews and provision of a written action plan (WAP). However, many patients have poor asthma control and as few as 30 per cent have a WAP. Fabienne Djandji at the Saint-Justine University Central Hospital in Montreal, Canada, and co-workers conducted a survey of 421 doctors to determine their attitudes and provision of WAPs. Only 5.2 per cent of respondents provided WAPs to patients; those treating children or aiming for long-term asthma control were more likely to do so. The doctors said that incentives to provide WAPs would include requests from patients themselves, being paid to complete WAPs and having extra support from specialists or other health care professionals such as pharmacists.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.180
GPT teacher head0.392
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2017
Admission routes3
Has abstractyes

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